Dynamic Vision-Enabled Intelligent Micro-Vibration Estimation Method with Spatiotemporal Pattern Consistency
Shupeng Yu, Xiang Li, Yaguo Lei, Bin Yang, Naipeng Li
Abstract
Dear Editor, This letter proposes a novel dynamic vision-enabled intelligent micro-vibration estimation method with spatiotemporal pattern consistency. Inspired by biological vision, dynamic vision data are collected by the event camera, which is able to capture the micro-vibration information of mechanical equipment, due to the significant advantage of extremely high temporal sampling frequency. A specially designed vibration information extraction module is proposed for processing the dynamic vision data and extracting the hidden micro-vibration information. The proposed method can also simultaneously fuse vibration information extracted from multiple areas of interest and improve the vibration estimation performance. Experiments on rotating machinery test rigs are conducted to demonstrate the effectiveness of the proposed method. The experimental results validate that the proposed method can accurately estimate micro-vibration from dynamic visual signals, thus enabling non-contact vibration monitoring from the perspective of vision.